Evidence map›Paper›PMID 33101402›Full record

ArticleAdvances in difference equations2020

On the modeling of the interaction between tumor growth and the immune system using some new fractional and fractional-fractal operators.

Behzad Ghanbari

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Article in Advances in difference equations, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. COVID-19: The Second Wave is not due to Cooling-down in Autumn.Journal of epidemiology and global health · 2021
    Article
4 · The record

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5 · Who and what money

Authors and funding

1 author.

Behzad GhanbariDepartment of Engineering Science, Kermanshah University of Technology, Kermanshah, Iran.ORCID 0000-0003-0158-168X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Humans are always exposed to the threat of infectious diseases. It has been proven that there is a direct link between the strength or weakness of the immune system and the spread of infectious diseases such as tuberculosis, hepatitis, AIDS, and Covid-19 as soon as the immune system has no the power to fight infections and infectious diseases. Moreover, it has been proven that mathematical modeling is a great tool to accurately describe complex biological phenomena. In the recent literature, we can easily find that these effective tools provide important contributions to our understanding and analysis of such problems such as tumor growth. This is indeed one of the main reasons for the need to study computational models of how the immune system interacts with other factors involved. To this end, in this paper, we present some new approximate solutions to a computational formulation that models the interaction between tumor growth and the immune system with several fractional and fractal operators. The operators used in this model are the Liouville-Caputo, Caputo-Fabrizio, and Atangana-Baleanu-Caputo in both fractional and fractal-fractional senses. The existence and uniqueness of the solution in each of these cases is also verified. To complete our analysis, we include numerous numerical simulations to show the behavior of tumors. These diagrams help us explain mathematical results and better describe related biological concepts. In many cases the approximate results obtained have a chaotic structure, which justifies the complexity of unpredictable and uncontrollable behavior of cancerous tumors. As a result, the newly implemented operators certainly open new research windows in further computational models arising in the modeling of different diseases. It is confirmed that similar problems in the field can be also be modeled by the approaches employed in this paper.

Indexed as

Fractional and fractional-fractal derivativesMathematical modelingNumerical simulationsSensitivity analysisThe immune systemTumor growth modeling

Identifiers

PMID33101402
PMCPMC7570433

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